FIT5047 - Intelligent systems
6 points, SCA Band 2, 0.125 EFTSL
Postgraduate Faculty of Information Technology
Leader(s): Ingrid Zukerman/Oshadi Alakhoon
Offered
Caulfield First semester 2009 (Day)
Synopsis
This is the foundation unit for the Intelligent Systems specialisation. It introduces the main problems and approaches to designing intelligent software systems including automated search methods, reasoning under uncertainty, planning, software agents, recommender systems, machine learning paradigms, natural language processing, user modelling and evolutionary algorithms.
Objectives
At the completion of this unit student will:
- Have knowledge of the applications of intelligent software systems in the domains of Pervasive Computing, Web Services and Business Intelligence;
- Be familiar with the principles and theoretical underpinning of intelligent software systems;
- Understand models and approaches to building intelligent software systems;
- Understand different software toolkits and development environments;
- Have an understanding of current research trends in the field;
- Critically and independently analyse how intelligent techniques can be used to enhance software applications and the development of smart environments;
- Be able to design and develop intelligent applications particularly in the domains of Pervasive Computing, Web Services and Business Intelligence.
- Be able to select and apply appropriate tools for a particular application.
Assessment
Assignments: 50%, Exam (3 hours): 50%
Contact hours
2 hours of lectures/week, 2 hours of tutorials/week
Prohibitions
CSE3309, CSE5610
Additional information on this unit is available from the faculty at:
13 October 2017
18 November 2024